code: def __init__(self, model):
      self.sess = InferenceSessionWrapper(model)
      self.num_classes = self.sess.get_outputs()[-1].shape[1]
  
file_path: autogluon/tabular/src/autogluon/tabular/models/rf/compilers/onnx.py
imports: import os
  import numpy
label_desc: Use image node_id 1 to create a new RFOnnxPredictor object  with example: obj = RFOnnxPredictor(model)